Integrating images from multiple microscopy screens reveals diverse patterns of protein subcellular localization change
Abstract
Evaluating protein localization changes on a systematic level is a powerful tool for understanding how cells respond to environmental, chemical, or genetic perturbations. To date, work in understanding these proteomic responses through high-throughput imaging has catalogued localization changes independently for each perturbation. To distinguish changes that are targeted responses to the specific perturbation and more generalized programs, we developed a scalable approach to visualize the localization behavior of proteins across multiple experiments as a quantitative pattern. By applying this approach to 24 experimental screens consisting of nearly 400,000 images, we differentiate specific responses from more generalized ones, discover nuance in the localization behavior of stress-responsive proteins, and form hypotheses by clustering proteins with similar patterns. While previous approaches aim to capture all localization changes for a single screen as accurately as possible, our work aims to integrate large amounts of imaging data to find unexpected new cell biology.
Article and author information
Author details
Funding
National Science and Engineering Research Council (Pre-Doctoral Award)
- Alex X Lu
Canada Research Chairs (Tier II Chair)
- Alan M Moses
Canada Foundation for Innovation
- Brenda J Andrews
- Alan M Moses
Canadian Institutes of Health Research (FDN-143265)
- Brenda J Andrews
Canadian Institute for Advanced Research (Senior Fellow)
- Brenda J Andrews
Canadian Institutes of Health Research (MOP-97939)
- Brenda J Andrews
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2018, Lu et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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